The influence and impact of digital images on modern society is tremendous, and image processing is now a critical component in science and technology. The rapid progress in computerized medical image reconstruction, and the associated developments in analysis methods and computer-aided diagnosis, has propelled medical imaging into one of the most important sub-fields in scientific imaging. The course takes its motivations from medical applications and uses real medical images and situations to clarify concepts and to build intuition and understanding. Designed for students who will become end users of digital image processing, the course emphasizes the effective use of image processing tools
The aim of the course is to provide students with theoretical and practical tools to analyze, understand, and extract information from biomedical and biological images. The course is intended to introduce the fundamental principles of the main diagnostic imaging modalities and to develop students' skills in digital image processing through theoretical lessons and practical laboratory activities. In particular, the teaching aims to provide basic knowledge related to: a) image quality and pre/post-processing techniques; b) segmentation, pattern recognition, and classification; c) three-dimensional visualization. The development of group projects using Matlab and open-source platforms also contributes to enhancing practical and collaborative skills, useful for future professional opportunities in healthcare, engineering, and information technology sectors.
Attendance and active participation in the proposed learning activities (lectures and practical laboratory sessions), together with individual study, will enable students to:
It is assumed that the student knows a programming language (in particular Matlab)
The teaching consists in a combination of traditional lectures (24 hours), and computer activities (48 hours - work group). Required course attendance as per the Didactic Regulations. The laboratory will be held by the teaching teachers, assisted by laboratory tutors. At the middle of the year, students must prepare a short presentation with the results obtained from the experimental activity. The organisation and dates of the laboratory activities will be communicated directly by the lecturers at the beginning of class.
The course program includes the presentation and discussion of the following topics:
All slides used during lessons and other teaching materials will be available on aula@web. The books listed below are strongly suggested as supporting texts to complete the student's preparation, but students can also use other university level texts as long as they are published in the last 5 years.
Ricevimento: The office hours for students will be agreed during the first class hour. Students may contact the professor by e-mail marco.fato@unige.it
MARCO MASSIMO FATO (President)
ROSELLA TRO' (President Substitute)
https://corsi.unige.it/en/corsi/11159
Exam consists of
For the imaging elaboration projects, the student's level of autonomy in developing activities will be evaluated. For the written test, the mastery of the theoretical topics covered during the lectures and behind the practical activities will be assessed.
At the middle of the year, students must prepare a short presentation with the results obtained from the experimental activity. The organisation and dates of the laboratory activities will be communicated directly by the lecturers at the beginning of class. The examination is passed if the marks for both activities (practical exercises and written test) are sufficient (grade > 18).
Ask the professor for other information not included in the teaching schedule
